ISIS Neutron and Muon Source Data Journal

Structural examination of self-assembled floating membranes below grafted lipid SAMs

Abstract: Robust, reliable, and protein-free bacterial membrane mimicking systems compatible with the high through put screening techniques will largely facilitate the discovery of new antibiotics. None of the published approaches have demonstrated the functionality beyond the scientific experimental level, which is required by the pharmaceutical industry. Thus, systematic, reliable in vitro screening of membrane-targeting drug candidates remains a challenging task. We have developed an experimental system to mimic Gram-negative bacterial membrane based on molecular self-assembly and vesicle fusion. The neutron –based techniques are the only ones which allow dissecting the nano-scale vertical architecture of lipid membranes and unambiguously determining buried aqueous inter-layer. Therefore, neutron reflection study is a necessary prerequisite before starting large scale interaction analysis.

Principal Investigator: Dr Martynas Gavutis
Local Contact: Dr Luke Clifton
Experimenter: Professor Jeremy Lakey [Deactivated] [Deactivated]

DOI: 10.5286/ISIS.E.RB1920400

ISIS Experiment Number: RB1920400

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Martynas Gavutis et al; (2020): Structural examination of self-assembled floating membranes below grafted lipid SAMs, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1920400

Data is released under the CC-BY-4.0 license.